Development of the analytical method of the general mathieu equation solution
DOI:
https://doi.org/10.15587/1729-4061.2018.140634Keywords:
general Mathieu equation, analytical method, fundamental functions, characteristic exponentAbstract
An analytical method for solving the general Mathieu differential equation in the initial form is proposed. The method is based on the corresponding exact solution, which is found for arbitrary numerical parameters of the initial equation a and q. In turn, the exact solution is expressed through the fundamental functions, which are represented by series in powers of the parameters a and q with variable coefficients.
Along with Mathieu equation, the system of equivalent differential equations is also considered. It is shown that the Wronskian matrix, which is formed of the fundamental functions of the equation, is the transition matrix of the system. Thus, it is proved that the fundamental functions of the Mathieu equation satisfy the given conditions at the zero point.
In order to solve the problem of numerical realization of the exact formulas found, the fundamental functions are represented by power series. To calculate the coefficients of the power series, the corresponding recurrent relations are derived.
As a result of the research, finite analytical formulas for calculating the characteristic exponent v, the determination of which is the central part of any problem, the mathematical model of which is the Mathieu equation are obtained. In fact, a direct analytical dependence of v on the initial parameters of the equation a, q is established. This is especially important, since the parameter v plays the role of an indicator of such properties of solutions of the Mathieu equation as boundedness and periodicity.
The proposed analytical method is a real alternative to the application of approximate methods in solving any problems that are reduced to the Mathieu equation. The presence of finite analytic formulas will allow avoiding the procedure of finding the solutions of the equation in the future. Instead, to solve the problem in each specific case, it is enough to implement the obtained analytical formulas numerically.
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